This webpage gives short introductions and links to all of the projects in my portfolio. If you are interested in contributing to a project or if you have questions / suggestions about a project please reach out to me on LinkedIn.
I wrote a batch file to run Python and R code that downloads and parses U.S. Treasury auctions data. The resulting datasets offer more detail than other freely available resources. I walk through the implementation of the code and then demonstrate some of the richness of the data through a brief exploratory data analysis using 2-year note auctions. See https://gjkoplik.github.io/get_treasury_data/ for more.
I go through the math and implementation of Normalized Cross Correlation for object detection with a toy example. See https://gjkoplik.github.io/normalized_cross_correlation/ for more.
I go through the theory of K-means and Spectral Clustering and include examples of their varying performance. See https://gjkoplik.github.io/spectral_clustering/ for more.
I created a county-level Index of Well-Being using data on obesity, poverty, unemployment, and high-school graduation rates. See https://gjkoplik.github.io/Index-of-Well-Being/ for more. This interactive map assigns equal weights to each of these four variables, but I allow the user to change the weights on these variables with this R Shiny app.
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